Evidence map›Paper›PMID 26795765›Full record

ArticlePloS one2016

Immunological Characterization of Whole Tumour Lysate-Loaded Dendritic Cells for Cancer Immunotherapy.

Veronica Rainone, Cristina Martelli, Luisa Ottobrini, Mara Biasin, Gemma Texido, Anna Degrassi, Manuela Borelli, Giovanni Lucignani, Daria Trabattoni, Mario Clerici

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  3. Article
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  5. Review
  6. Breast cancer vaccines for treatment and prevention.Breast cancer research and treatment · 2022
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Nanoparticle cancer vaccines: Design considerations and recent advances.Asian journal of pharmaceutical sciences · 2020
    Review
  12. Article
  13. Article
  14. Article
  15. Antigen-loaded dendritic cells triggers a specific cytotoxic T lymphocytes immune response against hepatocellular carcinoma: in vitro study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Article
  16. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Veronica RainoneDepartment of Biomedical and Clinical Sciences "L. Sacco", Chair of Immunology, University of Milan, Milan, Italy.
Cristina MartelliDepartment of Pathophysiology and Transplantation, University of Milan, Segrate, Milan, Italy.
Luisa OttobriniDepartment of Pathophysiology and Transplantation, University of Milan, Segrate, Milan, Italy.
Mara BiasinDepartment of Biomedical and Clinical Sciences "L. Sacco", Chair of Immunology, University of Milan, Milan, Italy.
Gemma TexidoBU Oncology, Nerviano Medical Sciences, viale Pasteur 10, 20014 Nerviano, Milan, Italy.
Anna DegrassiBU Oncology, Nerviano Medical Sciences, viale Pasteur 10, 20014 Nerviano, Milan, Italy.
Manuela BorelliDepartment of Biomedical and Clinical Sciences "L. Sacco", Chair of Immunology, University of Milan, Milan, Italy.
Giovanni LucignaniCentre of Molecular and Cellular Imaging-IMAGO, University of Milan, Milan, Italy.
Daria TrabattoniDepartment of Biomedical and Clinical Sciences "L. Sacco", Chair of Immunology, University of Milan, Milan, Italy.
Mario ClericiDepartment of Pathophysiology and Transplantation, University of Milan, Segrate, Milan, Italy.
University of Milan · ITLuigi Sacco Hospital · ITDon Carlo Gnocchi Foundation · ITNational Research Council · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDendritic cells play a key role as initiators of T-cell responses, and even if tumour antigen-loaded dendritic cells can induce anti-tumour responses, their efficacy has been questioned, suggesting a need to enhance immunization strategies. MATHERIALS &

methodsWe focused on the characterization of bone marrow-derived dendritic cells pulsed with whole tumour lysate (TAA-DC), as a source of known and unknown antigens, in a mouse model of breast cancer (MMTV-Ras). Dendritic cells were evaluated for antigen uptake and for the expression of MHC class I/II and costimulatory molecules and markers associated with maturation.

resultsResults showed that antigen-loaded dendritic cells are characterized by a phenotypically semi-mature/mature profile and by the upregulation of genes involved in antigen presentation and T-cell priming. Activated dendritic cells stimulated T-cell proliferation and induced the production of high concentrations of IL-12p70 and IFN-γ but only low levels of IL-10, indicating their ability to elicit a TH1-immune response. Furthermore, administration of Antigen loaded-Dendritic Cells in MMTV-Ras mice evoked a strong anti-tumour response in vivo as demonstrated by a general activation of immunocompetent cells and the release of TH1 cytokines.

conclusionData herein could be useful in the design of antitumoral DC-based therapies, showing a specific activation of immune system against breast cancer.

Indexed as

AnimalsAntigen PresentationAntigens, NeoplasmCancer VaccinesCell ProliferationCells, CulturedDendritic CellsFemaleHistocompatibility Antigens Class IHistocompatibility Antigens Class IIImmunotherapyInterferon-gammaInterleukin-10Interleukin-12Lymphocyte ActivationMaleAntigens, NeoplasmCancer VaccinesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIIL10 protein, mouseInterferon-gammaInterleukin-10Interleukin-12Tissue Extracts

Identifiers

PMID26795765
PMCPMC4721657
OpenAlexW2289526830

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.